The Ph.D. study focuses on the following fields of mechanics:
· Mechanics of solids. Theory of modelling mechanical systems, constitutive material relations with emphasis on non-linear behaviour, limit state conditions of materials and structures, mechanics of composites, biomechanics, analysis of stress, deformation and dynamic behaviour of selected groups of bodies (including composite bodies), inverse problems of mechanics of rigid bodies, modelling of stress and deformation in selected technological processes (forming), theory of experiments in interactive driving and mechatronic systems, dynamic of vehicles and of machinery, solution of selected problems in vibroacoustics.
· Mechanics of liquides and gases. Flow theory of compressible and incompressible fluids. Flow of gases and vapours. Nonstacionary flow and impact. Orientation on the flow in hydralic machines and heat engines.
· Thermomechanics. Theory of heat and substance transfer. Application of interferometry and other modern experimental methods. Thermodynamic problems of metallurgy and foundry technologies and heat treatment. Applications in the field of design of thermal power-generating machines. Inverse problems of heat transfer.

prof. Ing. Jiří Burša, Ph.D.

1. Adaptive control of dynamic systems using local linear models

   The thesis will deal with research in the field of control and identification of nonlinear dynamic systems using methods based on the idea of local linear models (Lazy Learning, LWR, RFWR). The identificated inverse dynamic model will be used as a feedforward compensator in the structure of a composite regulator. The results of the research will be verified experimentally with real systems available in the Mechatronics laboratory (education models, automotive actuators, etc.) using the Matlab/Simulink computational environment and available hardware resources. Implementation in the form of an electronic control unit with a microcontroller is expected.

   Tutor: Grepl Robert, doc. Ing., Ph.D.

2. Parameters and state estimation of dynamic model using optimization methods

   The work will be focused on research and development of state and parameter estimation of dynamic model in real-time. Application area includes e.g. traction stability systems. The simulation modelling in Matlab+ environment is supposed to use as well as experimental work with Real-Time Rapid Prototyping hardware dSPACE, which is currently de facto standard in automotive industry. Theoretical results will be practically verified on particular real model of four wheeled vehicle.

   Tutor: Grepl Robert, doc. Ing., Ph.D.